Delineation of Geospatial Residential Real Estate Submarket Boundaries
Author/s: Tony Lockwood
Date Published: 1/01/2009
Published in: Volume 15 - 2009 Issue 1 (pages 17 - 35)
Abstract
The objective of this study was to develop and assess a methodology for deriving the geospatial dimensions of residential real estate submarkets. This was achieved through the analysis of marketplace behaviour with respect to the underlying dimensions of the residential real estate geography. Importantly, the methodology makes no prior assumptions about where the spatial boundaries might be as they were empirically derived from the data alone. The contribution made lies in the use of the principal components of the underlying real estate geography as linearly independent variables in a geographically weighted hedonic model. This allows changing patterns in the parameter estimates of the principal components to define the geospatial submarket boundaries.Download Full Article
Download the Full Article PDF14445921.2009.11104270.pdf (690kB) |
Keywords
References
- Adair, A, Berry, J & McGreal, S 1996a, ‘Valuation of residential property: Analysis of participant behaviour’, Journal of Property Valuation and Investment, vol.14, pp.20-35.
- Adair, A, Berry, J & McGreal, S 1996b, ‘Hedonic modelling, housing submarkets and residential valuation’, Journal of Property Research, vol.13, pp.67-83.
- Barker, K 2004, Review of housing supply delivering stability: Securing our future housing needs (Final report - recommendations), HM Treasury, London.
- Bates, L 2006, ‘Does neighborhood really matter? Comparing historically defined neighborhood boundaries with housing submarkets’, Journal of Planning Education and Research, vol.26, pp.5-17.
- Borst R. & McCluskey W. (2008) ‘Using Geographically Weighted Regression to detect housing submarkets: modeling large-scale spatial variations in value’, Journal of Property Tax Assessment & Administration Vol 5 Issue 1.
- Bourassa, S, Cantoni, E & Hoesli, M 2007, ‘Spatial dependence, housing submarkets, and house price prediction’, Journal of Real Estate Finance and Economics, vol.35, pp.143-60.
- Bourassa, S, Hameling, F, Hoesli, M & McGregor, B 1999, ‘Defining housing submarkets’, Journal of Housing Economics, vol.8, pp.160-83.
- Bourassa, SC, Hoesli, M & Peng, VS 2003, ‘Do housing submarkets really matter?’, Journal of Housing Economics, pp.12-28.
- Cano-Guervos, R, Chica-Olmo, J & Hermoso-Gutierrez, J 2003, ‘A geo-statistical method to define districts within a city’, Journal of Real Estate Finance and Economics, vol.27, pp.61-85.
- Chhetri, P, Stimson, R & Western, J 2006, ‘Modelling the factors of neighbourhood attractiveness reflected in residential location decision choices’, Chiikigaku Kenkyu (Studies in Regional Science), vol.36, pp.393-417.
- Clapp, J 2003, ‘A semiparametric method for valuing residential locations: Application to automated valuation’, Journal of Real Estate Finance and Economics, vol.27, pp.303-20.
- Figueroa, R 1999, ‘Modelling the value of location in Regina using GIS and spatial autocorrelation statistics’, Assessment Journal, vol.6, pp.29-38.
- Fik, T, Ling, D & Mulligan, G 2003, ‘Modelling spatial variation in housing prices: A variable interaction approach’, Real Estate Economics, vol.31, pp.623-46.
- Fotheringham, A, Brunsdon, C & Charlton, M 2002, Geographically weighted regression the analysis of spatially varying relationships, Wiley.
- Gallimore, P, Fletcher, M & Carter, M 1996, ‘Modelling the influence of location on value’, Journal of Property Valuation and Investment, vol.14, pp.6-19.
- Goodman, A & Thibodeau, T 2007, ‘The spatial proximity of metropolitan area housing submarkets’, Real Estate Economics, vol.35, pp.209-32.
- Grigsby, W 1963, Housing markets and public policy, University of Pennsylvania Press.
- Jackson, E, Kupke, V & Rossini, P 2007, The relationship between socio-economic indicators and residential property values in Darwin, Thirteenth Annual Pacific-Rim Real Estate Society Conference, Fremantle, Western Australia.
- Kauko, T 2000, Modelling location in house prices: A literature review of the empirical research methodology, Urban Research Centre Utrecht (URU), Utrecht.
- Kestens, Y, Theriault, M & Des Rosiers, F 2004, ‘The impact of surrounding land use and vegetation on single-family house prices’, Environmental and Planning B, vol.31, pp.539-67.
- Lockwood, A & Coffee, N 2006, ‘Residential living structure as a basis for the spatial delineation of residential submarkets’, Pacific Rim Property Research Journal, vol.12, pp.350-68.
- Maclennan, D & Tu, Y 1996, ‘Economic perspectives on the structure of local housing systems’, Housing Studies, vol.11, pp.387-405.
- McCluskey, WJ, Deddis, WG & Lamont, IG 2002, The application of spatially derived location factors within a GIS environment, PRRES conference, Christchurch, New Zealand, <http://business.unisa.edu.au/prres>.
- Meen, D & Meen, G 2003, ‘Social behaviour as a basis for modelling the urban housing market: A review’, Urban Studies, vol.40, pp.917-35.
- Pryce, G 2004, The micro and macro effects of the location of new housing supply: Interim technical report for the Office of the Deputy Prime Minister, March 2004.
- Pryce, G & Evans, G 2007, Identifying submarkets at the sub-regional level in England, Department for Communities and Local Government, London,
. - Rossini, P. & Kershaw, P. 2005, Using a Hybrid Automated Valuation Model to Estimate Capital and Site Values, Eleventh Annual Pacific-Rim Real Estate Society Conference, Melbourne, Australia.
- Schnare, A & Struyk, R 1976, ‘Segmentation in urban housing markets’, Journal of Urban Economics, vol.3, pp.146-66.
- Shevky, E & Bell, W 1955, Social area analysis: Theory, illustrative application and computational procedures, Stanford University Press.
- Tu, Y, Sun, H & Yu, S 2007, ‘Spatial autocorrelations and urban housing market segmentation’, Journal of Real Estate Finance and Economics, vol.34, pp.385-406.
- Watkins, C 1999, ‘Property valuation and the structure of urban housing markets’, Journal of Property Investment and Finance, vol.17, pp.157-75.
- Watkins, C 2001, ‘The definition and identification of housing submarkets’, Environmental and Planning A, vol.33, pp.2235-53.
- Wheeler, D. & Tiefelsdorf, M. (2005) ‘Multicollinearity and correlation among local regression coefficients in geographically weighted regression’ J Geograph Syst 7: pp.161-187.